Bioinformatics Analyst: Genomics Data Pipelines (Hybrid)

Massachusetts General Hospital; Boston (MA); Hybrid; USD 75,000 - 110,000; Full time

Job summary

Massachusetts General Hospital is seeking a Bioinformatics Analyst to integrate biology, medicine and health data with information technology. You will collect, interpret data across genetics and related fields, build models, and help develop data analysis pipelines.

Responsibilities include assisting in analysis with bioinformatics tools, data processing, collaborating with research teams, performing basic statistics and data visualization, and presenting results under supervision.

Qualifications

• Bachelor's degree in Computational Biology or related field; Master's preferred.
• 0-1 year Computational Sciences experience preferred.

Responsibilities

• Assist in the analysis of biological data using bioinformatics tools and software.
• Perform data processing, quality control, and database maintenance.
• Collaborate with research teams to understand their data analysis needs.
• Support the development and implementation of data analysis pipelines.
• Conduct basic statistical analyses and data visualization.
• Participate in the interpretation and presentation of results.
• Demonstrate independent design and innovation in areas like algorithm development, data analysis, or pipeline software development.

Skills

Bioinformatics analytics

Programming languages

Data analysis

Statistical analysis

Data visualization

Communication skills

Time management

Education

Computational Biology degree

Related field degree

Master's degree in related field

Tools

Open-source bioinformatics software

Job description

Massachusetts General Hospital is seeking a Bioinformatics Analyst to integrate biology, medicine and health data with information technology. You will collect, interpret data across genetics and related fields, build models, and help develop data analysis pipelines.

Responsibilities include assisting in analysis with bioinformatics tools, data processing, collaborating with research teams, performing basic statistics and data visualization, and presenting results under supervision.